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ronghu c data driven iterative learning control discrete time systems 2022

Type:: E-books
Files:: 2
Size:: 35.4 MB
Uploaded On:: Nov. 17, 2022, 12:39 p.m.
Added By:: andryold1
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Info Hash:: 9764DBFB9035293ADFECDCD25874BFB9F2C96D9B

Textbook in PDF format This book belongs to the subject of control and systems theory. It studies a novel data-driven framework for the design and analysis of iterative learning control (ILC) for nonlinear discrete-time systems. A series of iterative dynamic linearization methods is discussed firstly to build a linear data mapping with respect of the system’s output and input between two consecutive iterations. On this basis, this work presents a series of data-driven ILC (DDILC) approaches with rigorous analysis. After that, this work also conducts significant extensions to the cases with incomplete data information, specified point tracking, higher order law, system constraint, nonrepetitive uncertainty, and event-triggered strategy to facilitate the real applications. The readers can learn the recent progress on DDILC for complex systems in practical applications. This book is intended for academic scholars, engineers, and graduate students who are interested in learning control, adaptive control, nonlinear systems, and related fields

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Ronghu C. Data-Driven Iterative Learning Control for Discrete-Time Sys 2022.pdf 3.5 MB
Ronghu C. Discrete-Time Adaptive Iterative Learning Control 2022.pdf 31.9 MB

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ronghu c data driven iterative learning control discrete time systems 2022

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